I am an Assistant Professor in Computer Science and Engineering at the University of Texas, Arlington.
Before joining UTA, I completed my Ph.D in Computer Sciences, University of Wisconsin - Madison in Aug. 2017 thanks to great support from
Prof. Vikas Singh (advisor)
and close collaboration with Prof. Moo K. Chung, Prof. Sterling C. Johnson and Prof. Barbara B. Bendlin and worked as a researcher at NEC Lab., America in Princeton, NJ. Please find my CV here.
I am looking for self-motivated Ph.D students interested in Machine Learning, Computer Vision and Medical Imaging research. Please contact me at email@example.com.
My research interests lie in multi-resolution analysis of data for various applications in Brain Imaging, Machine Learning and Computer Vision. On the application side, I am particularly interested in developing novel methods to facilitate the analysis of neurodegenerative brain disorders such as Alzheimer’s disease (AD) towards mechanisms for diagnosis, discovering new treatments, and design of new studies. On the technical side, my interests deal with applied harmonic analysis and statistical image analysis.
I am (to be) an assistant professor in Computer Science and Engineering, University of Texas, Arlington. I completed my Ph.D in Computer Sciences at the University of Wisconsin - Madison in Aug., 2017. I received a B.S. in Information & Communication Engineering at Sungkyunkwan University (S. Korea) in 2008, and a M.S. in Robotics Program at KAIST (S. Korea) in 2010. Before joining UW-Madison, I worked at Hyundai Motor Company as a reseacher in Hybrid System Testing team (Power Electronics part), Environmental Technology Center during 2010 - 2011. I was also a member of Machine Learning Summer School, UC Santa Cruz, 2012.
I am a Ph.D now.
I have a paper "Online Graph Completion: Multivariate Signal Recovery in Computer Vision" accepted in CVPR 2017.